In the post Location Data Quality for MDM the different ways of handling location master data within many companies was examined.
A typical “as is” picture could be this:
Location data are handled for different purposes using different kinds of systems. Customer data may be data quality checked by using address validation tools and services, which also serves as prerequisite for better utilization of these data in a Geographical Information System (GIS) and in using internal customer master data in marketing research for example by utilizing demographic classifications for current and prospective customers.
Often additional external location data are used for enrichment and for supplementing internal master data downstream in these specialized systems. It may very well be that the external location reference data used at different points does not agree in terms of precision, timeliness, conformity and other data quality dimensions.
A desired “to be” picture could be this:
In this set-up everything that can be shared across different purposes are kept as common (big) reference data and/or are accessible within a data-as-a-service environment maintained by third party data providers.